58 Data Cleaning Jobs nearby Vijayawada

Job Description: Viprata Software Services Pvt Ltd is looking for an AI / ML Engineer to work on machine learning and AI-based solutions for our projects and clients. The candidate will be involved in data preparation, model development, evaluation, and deployment in collaboration with our development team. Key Responsibilities: Develop and train ML / Deep Learning models using Python. Perform data cleaning, preprocessing, and feature engineering. Evaluate models and improve accuracy and performance. Deploy models as APIs / services and support integration. Prepare documentation for models and workflows. Key Skills: Python, Pandas, NumPy, Scikit-Learn Knowledge of TensorFlow / Keras / PyTorch Understanding of ML algorithms & statistics Basic SQL, Git, REST API knowledge Good analytical and communication skills Qualification: 2024-2025 Passed Out B.E / B.Tech  in Computer Science / IT / AI / Data Science or related field.

In the role of Senior Manager, Data Analytics at Novartis, you will be responsible for managing and analyzing large volumes of data to extract valuable insights. Your exceptional analytical skills will be utilized to manipulate and interpret complex datasets using various technologies, including programming languages. You will also play a crucial role in fostering strong relationships with global stakeholders and effectively communicating business analyst needs to data engineers or software engineers. Key Responsibilities: - Utilize statistical techniques and data mining methods to analyze large datasets, identify trends, patterns, and correlations to uncover valuable insights - Thoroughly clean, validate, and organize data to ensure accuracy and consistency, resolving data quality issues to maintain data integrity - Present findings through clear and concise data visualizations, enabling easy understanding and interpretation - Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders and support decision-making processes - Collaborate closely with cross-functional teams to understand requirements and provide data-driven solutions, fostering effective teamwork and communication - Generate insights from data and communicate them to key stakeholders, both technical and non-technical - Develop and maintain documentation related to data analysis processes and procedures for knowledge sharing - Stay updated with the latest trends and techniques in data analytics, continuously exploring and implementing new tools and technologies Qualifications Required: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms - Proficiency in programming languages, such as Python, and strong SQL skills with an aptitude for learning other analytics tools - Experience with BI tools like PowerBI or Qlik, ETL tools like Dataiku/Alteryx, and effective communication skills for presenting findings to stakeholders Desirable Qualifications: - 5+ years of extensive experience in Data and/or Business Analytics, with a background in Financial Data Analytics being an added advantage - Bachelors or Masters degree in a relevant field such as mathematics, statistics, economics, or computer science - Strong written and verbal communication skills About Novartis: Novartis is dedicated to helping people with diseases and their families through innovative science and a community of smart, passionate individuals. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that change patients" lives. If you are ready to create a brighter future together, join us at Novartis. [Note: Additional details about the company have been omitted from this job description] If you are interested in this role or want to explore other career opportunities at Novartis, you can join our talent community to stay connected and learn about suitable roles as soon as they become available. Novartis is committed to providing reasonable accommodations to individuals with disabilities. If you require such accommodations during the recruitment process, please reach out to [email protected] with your request and contact information. Novartis is dedicated to building an outstanding, inclusive work environment with diverse teams that represent the patients and communities we serve.,

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

As a Staff Data Scientist at Micron Technology, you will have the opportunity to utilize your expertise in machine learning and statistical techniques to develop cutting-edge data products, including predictive analytics, prescriptive solutions, decision support, and decision automation systems. Your role will involve working with extensive Big Data sets from technology development and manufacturing teams to drive innovation and technical excellence within the organization. Some key responsibilities include: - Developing AI, machine learning, and statistical-based solutions for predictive, prescriptive, optimization, and automation tasks related to silicon design verification and firmware validation. - Collaborating with cross-functional teams to ensure the accuracy, reliability, and performance of semiconductor products. - Driving technical innovation and promoting a culture of creativity by contributing to IP generation and inspiring team members to innovate. - Participating in project scoping, stakeholder discussions, and end-to-end project execution to deliver scalable solutions. Key Requirements: - Education: Masters or PhD in Computer Science, Electrical Engineering, or a related field. - Experience: 8+ years in data science and machine learning, with a preference for experience in silicon verification or semiconductors. Technical Skills: - Strong understanding of statistics, classical machine learning algorithms, neural networks, and algorithms behind LLM, RAG, and agents. - Hands-on experience in data engineering, building deployment pipelines, and data extraction, processing, and cleaning using known frameworks. - Proficiency in programming languages such as Python, R, and SQL, as well as experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Soft Skills: - Passion for delivering high-value data science solutions in the semiconductor industry. - Strong teamwork, mentoring, learning, ethics, and professional communication skills. Location: Hyderabad Micron Technology, Inc. is a global leader in memory and storage solutions, driving innovation in information technology to enhance the lives of people worldwide. With a focus on customer satisfaction, technology leadership, and operational excellence, Micron offers a wide range of high-performance memory and storage products under the Micron and Crucial brands. The innovations created by Micron's talented team enable advancements in artificial intelligence and 5G applications, shaping the future of data economy from the data center to the intelligent edge and beyond. To learn more about Micron Technology, please visit micron.com/careers Micron Technology strictly prohibits the use of child labor and adheres to all applicable laws, rules, regulations, and international labor standards. For assistance with the application process or to request reasonable accommodations, please contact hrsupport_india@micron.com.,

You will be responsible for the following tasks: - Understand the Business Problem and the Relevant Data - Maintain an intimate understanding of company and department strategy - Translate analysis requirements into data requirements - Identify and understand the data sources that are relevant to the business problem - Develop conceptual models that capture the relationships within the data - Define the data-quality objectives for the solution - Be a subject matter expert in data sources and reporting options - Architect Data Management Systems - Leverage understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.) - Design and implement optimum data structures in the appropriate data management system (GCP, Snowflake, Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirements - Plan methods for archiving/deletion of information - Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data - Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static) - Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model - Develop processes to efficiently load the transform data into the data management system - Prepare Data to Meet Analysis Requirements - Work with the data scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data, etc.) - Develop and code data extracts - Follow best practices to ensure data quality and data integrity - Ensure that the data is fit to use for data science applications Qualifications and Experience: - 5+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions - Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.) - Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake - Experienced in Cloud based solutions using AWS/AZURE/GCP/Snowflake. - Significant experience with big data processing and/or developing applications and data sources via Spark, etc. - Understanding of how distributed systems work - Familiarity with software architecture (data structures, data schemas, etc.) - Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL. - Strong mathematics background, analytical, problem solving, and organizational skills - Strong communication skills (written, verbal and presentation) - Experience working in a global, cross-functional environment - Minimum of 2 years experience in any of the following: At least one high-level client, object-oriented language (e.g., C#, C++, JAVA, Python, Perl, etc.); at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.); one or more Data Extraction Tools (SSIS, Informatica etc.) About Micron Technology, Inc.: Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. With a relentless focus on customers, technology leadership, and operational excellence, Micron delivers a rich portfolio of memory and storage products through the Micron and Crucial brands. For more information, please visit micron.com/careers Please note that Micron prohibits the use of child labor and complies with all applicable laws and industry labor standards. Candidates are encouraged to use AI tools to enhance their resumes, but accuracy is crucial. To verify the authenticity of any communication claiming to be from Micron, please check the official Micron careers website.,

**Job Description:** At Amgen, you will play a crucial role in identifying trends, root causes, and potential improvements in products and processes to ensure patient voices are heard and addressed accurately. As a Sr Associate Data Scientist, your responsibilities will include: - Collecting, cleaning, and managing large datasets related to product performance and patient complaints. - Ensuring data integrity, accuracy, and accessibility for further analysis. - Developing and maintaining databases and data systems for storing patient complaints and product feedback. - Analyzing data to identify patterns, trends, and correlations in patient complaints and product issues. - Using advanced statistical methods and machine learning techniques to uncover insights and root causes. - Developing analytics or predictive models to anticipate potential product issues and patient concerns. - Preparing comprehensive reports and visualizations to communicate findings to key collaborators. - Presenting insights and recommendations to cross-functional teams, including product development, quality assurance, and customer service. - Collaborating with regulatory and compliance teams to ensure adherence to healthcare standards and regulations. - Finding opportunities for product enhancements and process improvements based on data analysis. - Working with product complaint teams to implement changes and monitor their impact. - Staying updated on industry trends, emerging technologies, and standard methodologies in data science and healthcare analytics. - Evaluating data to support product complaints. - Working with software developers and engineers to translate algorithms into commercially viable products and services. - Collaborating in technical teams for the development, deployment, and application of applied analytics. **Qualifications Required:** **Basic Qualifications:** - Masters degree and 1 to 3 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools OR - Bachelors degree and 3 to 5 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools OR - Diploma and 7 to 9 years of Data Science with experience in one or more analytic software tools or languages, and data visualization tools. **Preferred Qualifications:** - Demonstrated skill in applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets. - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification. - Proficiency in analyzing time-series data for forecasting and trend analysis. - Familiarity with Data Bricks platform for data analytics. - Previous experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements. At Amgen, you can expect comprehensive Total Rewards Plans aligned with local industry standards, supporting your professional and personal growth. Join us in a career where you can make a difference and be part of a collaborative and inclusive environment dedicated to advancing science to serve patients. Apply now and be a part of our mission to improve the quality of life for people around the world.,

As a Team Lead in Emerging Technologies, you will be responsible for leading a team and driving projects involving cutting-edge technologies. Your role will involve the following key responsibilities: - Programming skills: You should be proficient in Python and have experience working with libraries such as TensorFlow, PyTorch, and Scikit-learn. Additionally, you should have a strong understanding of machine learning algorithms and neural networks. Experience with computer vision models and large language models (NLP) is also required. - Data Engineering: You should possess knowledge of data cleaning, pre-processing, feature engineering, and data pipelines to ensure smooth data flow and processing. - Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or GCP is essential for deploying AI models effectively. In addition to the technical skills mentioned above, you should also demonstrate the following qualities: - Leadership Skills: You should have good communication and listening skills to effectively lead and guide your team. Team building, defining project goals, prioritizing tasks, and sharing knowledge are crucial aspects of this role. - Problem Solving & Learning Skills: You should be adept at identifying potential issues in AI models, evaluating data quality, and troubleshooting technical challenges. Keeping up with the latest advancements in the AI field and actively researching new techniques and tools is also expected. Qualifications Required: - Minimum Education: You should have acquired a Bachelor's Degree in Technology/Engineering, Masters in Computer Applications (MCA), or Master of Science in Computer Science from a reputed institute. A Master's in Technology/Engineering is preferable for this role. With your expertise in emerging technologies and leadership skills, you will play a pivotal role in driving innovative projects and ensuring the successful implementation of AI solutions.,

Role Overview: You will be joining as an AIML Engineer(GenAI) at a company based in Hyderabad. Your role will involve working with data acquisition, data mining, data transformation, cleaning structured/unstructured data, modeling, and machine learning, with a focus on Generative AI. Additionally, you will be responsible for Prompt engineering with LLM Development using LangChain, Semantic Kernel, Open Source/API based LLMs, and delivering GEN AI-based solutions with platforms like Open AI, Claude, and other LLMs. Key Responsibilities: - Experience in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modeling, or machine learning, with a minimum of 1 year in Generative AI. - Proficiency in Prompt engineering with LLM Development using LangChain, Semantic Kernel, Open Source/API based LLMs or similar technologies. - Demonstrated track record of delivering at least 2 GEN AI based solutions in the past using platforms like Open AI, Claude, and other LLMs. - Hands-on experience with AWS Lambda service for exposing services for external consumptions. - Proficiency in Python programming and API development. - Minimum of 2 years of experience in Classic ML concepts and design. Qualifications Required: - 4+ years of relevant experience in AIML engineering. - Immediate joiners are preferred. - Strong expertise in data processing, machine learning, and AI technologies. - Experience with Generative AI and Prompt engineering will be an added advantage. - Proficiency in Python, API development, and AWS Lambda services. - Solid understanding of Classic ML concepts and design principles. Note: No additional details of the company are mentioned in the job description provided.,

Role Overview: As an Experienced Data Scientist at the company, you will be focused on developing and implementing Generative AI solutions to tackle critical business challenges and discover new opportunities. Your expertise in data science, machine learning, and Generative AI techniques will be vital in driving impactful projects from inception to implementation. Key Responsibilities: - Data Handling & Preparation: - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, and feature engineering. - Create synthetic datasets for training and evaluating Generative AI models. - Maintain data quality and integrity throughout the model development process. - Model Optimization & Deployment: - Optimize Generative AI models for performance, scalability, and efficiency. - Incorporate responsible AI practices including bias detection and mitigation. - Collaborate with Machine Learning Engineers and DevOps teams for model deployment. - Prompt Engineering & Fine-tuning: - Develop effective prompts and fine-tuning strategies for Large Language Models. - Customize models for specific domains and tasks to achieve desired outcomes. - Generative AI Model Development & Implementation: - Design, develop, train, fine-tune, and deploy various Generative AI models. - Models may include Large Language Models, diffusion models, GANs, VAEs. - Applications encompass text generation, image and video synthesis, code generation, and synthetic data creation. - Research & Innovation: - Stay abreast of the latest Generative AI research. - Explore new architectures, methodologies, and tools. - Identify opportunities to apply cutting-edge techniques to solve business challenges. - Experimentation & Evaluation: - Design and conduct experiments to assess model performance. - Analyze results using metrics like BLEU, ROUGE, FID, perplexity. - Refine model development based on insights gathered. - Collaboration & Communication: - Collaborate closely with product managers, engineers, researchers, and stakeholders. - Understand requirements, convey technical findings, and simplify AI concepts for non-technical audiences. - Documentation & Knowledge Sharing: - Maintain detailed documentation of development processes, models, and outcomes. - Share knowledge and best practices with data science and engineering teams. Qualifications Required: - Experience in data science, machine learning, and Generative AI. - Proficiency in handling large datasets, data preprocessing, and model optimization. - Strong skills in model development, fine-tuning, and deployment. - Familiarity with cutting-edge Generative AI models and applications. - Excellent communication, collaboration, and documentation abilities. Note: The company emphasizes adherence to ethical AI principles to guarantee fairness, transparency, and accountability in the Generative AI model development and deployment process.,

As a Data Scientist Intern at Strydo Technologies, you will play a crucial role in extracting value from data by leading processes such as data collection, cleaning, pre-processing, model training, and deployment to production. Your passion for artificial intelligence and staying updated with the latest advancements in the field will be key to your success. - Understand business objectives and develop models to achieve them, tracking progress with relevant metrics - Manage resources like hardware, data, and personnel to meet deadlines - Analyze and rank ML algorithms for problem-solving - Explore and visualize data to identify distribution differences that impact model performance - Provide guidance on research and development projects to students - Organize workshops for engineering students - Support training and development initiatives - Verify data quality through cleaning and supervise data acquisition if necessary - Discover and utilize online datasets for training - Define validation strategies, pre-processing, and data augmentation pipelines - Train models, tune hyperparameters, and analyze errors to improve model performance - Deploy models to production - BE / B. Tech / ME / M. Tech / MCA As a prospective candidate, you are expected to possess good communication, presentation, troubleshooting, and problem-solving skills. Your proactive approach in identifying issues and proposing solutions will be highly valued.,

Role Overview: As a Big Data Engineer at Micron Technology, you will play a crucial role in transforming information into intelligence, inspiring advancements in learning, communication, and innovation. Your responsibilities will include developing ETL/ELT processes, building APIs for application integration, determining transformation requirements, collaborating with Data Scientists, and optimizing the performance of big data and machine learning systems. Key Responsibilities: - Understanding of Big Data Engineering/processing, Business Intelligence, and Advanced analytics - Developing ETL/ELT processes - Knowledge in databases and Data warehouse modeling - Knowledge in Cloud-based data engineering and Machine Learning Models - Knowledge in building APIs for application integration - Experience with Agile frameworks and processes - Determining transformation requirements and developing processes to bring structured and unstructured data to a new physical Data Model - Collaborating with Data Scientists to implement data cleaning strategies, develop data imputation algorithms, and optimize the performance of big data and machine learning systems Qualifications Required: - Above-average skills in Big Data Engineering and Processing using Hadoop stack (Hadoop, Hive, HDFS, Spark, and HBase etc.) - Developing ETL/ELT processing using Apache Ni-Fi - Strong background in SQL and databases - Programming skills in Python or Scala - Data analysis and validation skills Micron Technology, Inc. is an industry leader in innovative memory and storage solutions, delivering high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The company focuses on customer satisfaction, technology leadership, and operational excellence to fuel the data economy, enabling advancements in artificial intelligence and 5G applications. If you are excited about leveraging your skills in Big Data Engineering and Processing to drive innovation and transformation, Micron Technology could be the perfect place for you to grow and contribute to groundbreaking developments in the industry.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. **Role Overview:** As a Data Integration Consultant Senior, you will be responsible for designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes for clients. You will work closely with IT, supply chain, and other stakeholders to understand data analysis needs, develop strategies to validate, clean, transform, and monitor data, oversee standard reports and dashboards, ensure data compliance, collaborate to ensure data integrity, and recommend improvements and innovations in supply chain data management. **Key Responsibilities:** - Conduct data assessment for clients using different frameworks and support them in building a successful data strategy. - Translate stakeholders" data analysis needs into technical requirements. - Develop strategies to validate, clean, transform, and monitor data for accuracy, consistency, completeness, reliability, and timeliness. - Determine new data capture and standardization opportunities. - Oversee standard reports and dashboards while ensuring compliance with legal standards. - Maintain data documentation and collaborate with cross-functional teams for data governance projects. - Participate in the full lifecycle of data governance projects, from requirements gathering to post-implementation review. - Perform data analysis and manipulation as per client requirements. - Develop data pipelines using ETL tools like Azure Data Factory, Informatica, SSIS, Talend, or Alteryx. - Utilize AI models, Python, and data cleaning/standardization techniques. **Qualifications Required:** - 3+ years of experience in ETL tools like Azure Data Factory, Informatica, SSIS, Talend, or Alteryx. Strong SQL/PLSQL skills are essential. - Knowledge of Data Intelligence Cloud, Data Quality/Cleansing, and experience with data quality/maturity frameworks. - Expertise in Data Governance design and setup. - Familiarity with data quality standards, profiling, assessment, reporting, cleaning, monitoring, control, and governance. - Experience in data intelligence cloud platforms like Snowflake, Azure, and Databricks. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now at EY to build a better working world.,

As an intern at PHINCO ELITE, you will be responsible for the following tasks on a daily basis: - Collecting and cleaning raw data from multiple sources such as Excel, SQL, CRM tools, etc. - Performing data preprocessing which includes handling missing values, duplicates, and formatting the data appropriately - Conducting exploratory data analysis (EDA) to identify trends and patterns within the data - Creating reports and dashboards using tools like Excel, Power BI, or Tableau - Writing basic SQL queries to extract data from databases PHINCO ELITE is a global leader in digital skills training that was established in 2021. With operations in Hyderabad, Germany, Dubai, and Bangalore, they offer a diverse range of programs and certifications. The curriculum is meticulously designed and delivered in collaboration with alumni from India's prestigious universities, leading corporations, and industry bodies. The company provides live online classes led by top industry practitioners, highly sought-after trainers, and global leaders to ensure that learners receive a world-class education equipping them with the skills needed to achieve their career aspirations. As an intern at PHINCO ELITE, you will be responsible for the following tasks on a daily basis: - Collecting and cleaning raw data from multiple sources such as Excel, SQL, CRM tools, etc. - Performing data preprocessing which includes handling missing values, duplicates, and formatting the data appropriately - Conducting exploratory data analysis (EDA) to identify trends and patterns within the data - Creating reports and dashboards using tools like Excel, Power BI, or Tableau - Writing basic SQL queries to extract data from databases PHINCO ELITE is a global leader in digital skills training that was established in 2021. With operations in Hyderabad, Germany, Dubai, and Bangalore, they offer a diverse range of programs and certifications. The curriculum is meticulously designed and delivered in collaboration with alumni from India's prestigious universities, leading corporations, and industry bodies. The company provides live online classes led by top industry practitioners, highly sought-after trainers, and global leaders to ensure that learners receive a world-class education equipping them with the skills needed to achieve their career aspirations.

Role Overview: As a Data Analyst at PureSpectrum, you will be responsible for product-related analyses, reporting, and insights. Working within the Analytics and Data Science organization, you will report directly to the VP - Analytics and Data Science. Your role will involve understanding business issues, developing predictive models, executing end-to-end projects, and effectively communicating results to both technical and non-technical audiences. You will be required to work in a fast-paced environment and collaborate with global team members and technology partners. Key Responsibilities: - Understand business issues, formulate and test hypotheses using appropriate statistical methods, and create Proof-of-Concept (POC) models - Develop, implement, and refine predictive models to build training datasets - Execute end-to-end projects, ranging from mining, cleaning, inputting, and transforming data from multiple databases/collections - Partner with the engineering team to create pipelines to collect, store, and retrieve training datasets - Coordinate with functional teams to prioritize workflow, triage, and resolve data consistency and quality issues - Communicate ideas, analyses, and results effectively, both verbally and in writing, to technical as well as non-technical audiences - Proactively identify any potential issues/questions regarding the integrity of data and suggest resolutions to Data Management teams Qualifications: - Bachelors degree required with 3 years or more of hands-on experience in Data Analysis or Masters Degree in Quantitative Economics, with one year or more of hands-on experience - Experience in big data environments such as AWS - Experience with internal and external relationship management, partner presentations, and quantitative data analysis - Experience with analytical tools and programming languages such as Python, R, SAS - Prior experience with report and dashboard design - High proficiency in Excel with strong analytical and mathematical capabilities - Exposure to API integrations and customized applications - Familiarity with databases and BI tools (e.g. SQL, mongoDB, QuickSight, Tableau, Microsoft Power BI) Additional Company Details: PureSpectrum fosters a modern, collaborative, and inclusive culture that values flexibility, creativity, and open communication. The company offers a competitive compensation and benefits package, including comprehensive health insurance, Provident Fund (PF), and various perks supporting overall well-being. A robust leave policy covering casual, sick, and vacation leaves, along with special leaves for key life events, is provided. Regular team events, celebrations, and engagement activities strengthen the sense of community and belonging at PureSpectrum. The company provides a relaxed yet high-performing workplace where professional growth, meaningful connections, and individual authenticity are encouraged and supported. PureSpectrum is committed to supporting the personal and professional development of every team member, fostering an environment where all can thrive both inside and outside of work. Note: Diversity & Inclusion initiatives are a key focus area for PureSpectrum, promoting a diverse and inclusive workplace for all employees.,

Role Overview: As a Data Science / AI & ML graduate at our company, you will have the exciting opportunity to apply your analytical and programming skills to financial market research and trading automation. Working closely with our core quant and tech teams, you will be responsible for designing, testing, and optimizing AI-based trading strategies. Key Responsibilities: - Research and analyze market data from Indian Stock Markets, Indices, Commodities, and Forex using Python. - Build and test trading models utilizing Machine Learning, Deep Learning, or Quantitative Logic. - Engage in data cleaning, feature extraction, and backtesting frameworks. - Develop dashboards and performance trackers for live strategies. - Collaborate with developers to automate models for real-time execution. - Document findings, strategy results, and improvement ideas. Preferred Qualifications: Education: - B.Tech / B.E. in Data Science, Artificial Intelligence, or Machine Learning. - Strong understanding of statistics, algorithms, and model evaluation. Skills: - Proficiency in Python, Pandas, NumPy, Matplotlib. - Knowledge of Machine Learning, Time-Series Analysis, or Reinforcement Learning. - Familiarity with APIs, SQL, or TradingView/Python backtesting is a plus. - Interest in finance, markets, or trading is highly desirable. What You'll Get: In this role, you can expect: - Real-world exposure to financial data and algorithmic systems. - Hands-on mentorship in AI model building, backtesting, and automation. - Opportunity for a pre-placement offer (PPO) based on performance. - Dynamic startup environment with fast growth opportunities. Job Types: Full-time, Permanent, Fresher Benefits: - Health insurance Work Location: In person,

Role Overview: You will be responsible for identifying key metrics related to employee performance, engagement, retention, and satisfaction. You will analyze and report on data by collecting, cleaning, and organizing large datasets from various sources to identify trends and insights. Additionally, you will create advanced Excel models, dashboards, and reports to provide business insights. Furthermore, you will develop interactive dashboards and reports in Power BI to support strategic decision-making, and present complex data in visually compelling formats for stakeholders. You will also utilize Python for data processing, statistical analysis, and automation of repetitive tasks by writing scripts to integrate and analyze data from multiple systems and APIs. Collaboration with cross-functional teams to understand their data needs and deliver tailored solutions will be an essential part of your role. You will be expected to communicate findings effectively to both technical and non-technical audiences, as well as identify opportunities for process optimization and automation. It is crucial to stay updated with the latest tools, trends, and best practices in data analytics and visualization. Key Responsibilities: - Identify key metrics related to employee performance, engagement, retention, and satisfaction - Collect, clean, and organize large datasets from various sources to identify trends and insights - Create advanced Excel models, dashboards, and reports to provide business insights - Develop interactive dashboards and reports in Power BI to support strategic decision-making - Use Python for data processing, statistical analysis, and automation of repetitive tasks - Write scripts to integrate and analyze data from multiple systems and APIs - Collaborate with cross-functional teams to understand their data needs and deliver tailored solutions - Communicate findings effectively to both technical and non-technical audiences - Identify opportunities for process optimization and automation - Stay updated with the latest tools, trends, and best practices in data analytics and visualization Qualifications Required: - Bachelors / masters degree - Technical Proficiency in Advanced Excel skills (Pivot Tables, Macros, VBA, Power Query, etc.) - Hands-on experience with Power BI (DAX, Power Query, and data modeling) - Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, Seaborn, etc.) - Analytical Skills including strong problem-solving skills and attention to detail - Ability to interpret huge data and provide actionable recommendations - Soft Skills such as excellent communication and presentation skills, and strong organizational and time management abilities Additional Details: This role requires skills in VB Macros, Python, Power BI, and Advanced Excel.,

As an intern at PHINCO ELITE, your day-to-day responsibilities will include: - Collecting and cleaning raw data from multiple sources such as Excel, SQL, CRM tools, etc. - Performing data preprocessing tasks like handling missing values, duplicates, and formatting the data - Conducting exploratory data analysis (EDA) to identify trends and patterns within the data - Creating reports and dashboards using tools like Excel, Power BI, or Tableau - Writing basic SQL queries to extract data from databases PHINCO ELITE, a global leader in digital skills training, empowers learners worldwide to accelerate their career progression. Established in 2021, with operations in Hyderabad, Germany, Dubai, and Bangalore, the company offers a diverse range of programs and certifications. The curriculum at PHINCO ELITE is meticulously designed and delivered in collaboration with alumni from India's prestigious universities, leading corporations, and industry bodies. Live online classes are led by top industry practitioners, highly sought-after trainers, and global leaders, ensuring that learners receive a world-class education that equips them with the skills needed to achieve their career aspirations.,

You are required to analyze data and turn it into valuable insights to drive business decisions. Your responsibilities will include: - Interpreting data, analyzing results using statistical techniques, and providing regular reports - Developing and implementing databases, data collection systems, and analytics strategies to optimize efficiency - Acquiring data from various sources and maintaining databases/systems - Identifying trends and patterns in complex data sets - Cleaning and filtering data to correct code problems - Collaborating with management to prioritize business and information needs - Identifying opportunities for process improvements To be considered for this role, you must meet the following qualifications: - 4 to 7 years of experience, with at least 3 years in Capital Markets related projects - Hands-on experience in writing SQL queries - Proven working experience as a Data Analyst or Business Data Analyst for a minimum of 3 years - Technical expertise in data models, database design, data mining, and segmentation techniques - Strong knowledge of reporting packages, databases, and programming languages such as SQL, XML, Javascript, or ETL frameworks - Familiarity with statistical packages like Excel, SPSS, SAS, and strong analytical skills - Proficiency in query writing, report generation, and presenting findings - Educational background in Computer Science, Information Management, Statistics/Mathematics, or Economics If the above job description matches your expertise and experience, we encourage you to apply for this position.,

As a Data Quality Specialist Senior at EY, you will have the opportunity to leverage your experience in the Supply Chain Domain and Finance to design, develop, and deploy data-driven solutions that enhance supply chain operations and decision-making processes. **Role Overview:** You will be responsible for assessing data for clients using different frameworks, supporting clients in building successful data strategies, and collaborating with IT, supply chain, and other stakeholders to understand data analysis needs and translate them into technical requirements. Additionally, you will develop strategies to validate, clean, transform, and monitor data to ensure its accuracy, consistency, completeness, reliability, and timeliness for intended uses. **Key Responsibilities:** - Data assessment for clients using different frameworks and support clients to build a successful data strategy. - Work closely with IT, supply chain, and other stakeholders to understand data analysis needs and translate them into technical requirements. - Develop strategies to validate, clean, transform, and monitor data for accuracy, consistency, completeness, reliability, and timeliness. - Oversee key standard reports and dashboards. - Assure legal and other compliance standards are followed. - Ensure data documentation is written and maintained. - Collaborate with cross-functional teams to implement data-driven strategic initiatives. - Stay current with the latest trends and technologies in Data in supply chain management to recommend improvements and innovations. - Participate in the full lifecycle of data governance projects. - Perform Data Analysis and Data Manipulation as per client requirements. - Strong SQL, data integration, and handling skills. - Exposure to AI Models, Python, and using them in Data Cleaning/Standardization. **Qualification Required:** To qualify for this role, you must have: - 3+ years of experience as a Data Quality/Cleansing Specialist with strong experience in data quality/maturity frameworks. - Experience in integrating data from ERP Systems, SQL, Informatica, along with data quality standards, data profiling, data quality assessment, data quality reporting, data cleaning, monitoring, and control, data governance. - Experience in cloud databases like Snowflake, Azure, Databricks. **Additional Details of the Company (EY):** EY is a global leader in assurance, tax, transaction, and GDS consulting services, focused on building a better working world. The company provides training, opportunities, and creative freedom to its employees, ensuring personal development through education and coaching alongside practical experience. EY values its employees and offers support, coaching, and feedback, as well as opportunities to develop new skills and progress in your career. Join EY to be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. If you meet the criteria above and are looking to work in a diverse and engaging environment with opportunities for personal and professional growth, contact EY to be a part of building a better working world. Apply now to join a team that believes in creating long-term value for clients, people, and society while building trust in the capital markets.,

Role Overview: You are seeking a highly experienced and innovative Senior AI Engineer to join the rapidly expanding AI/ML team at CGI. With 7+ years of hands-on experience, you will play a crucial role in the end-to-end lifecycle of AI/ML solutions, from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. By collaborating closely with data scientists, product managers, and software engineers, you will drive the adoption of cutting-edge AI technologies across platforms. Key Responsibilities: - Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications. - Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments. - Work with large, complex datasets, perform data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference. - Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas. - Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization. - Partner closely with Data Scientists and Software Engineers to transition research prototypes into production-ready solutions, integrate AI models into existing products and platforms, and communicate complex AI concepts to technical and non-technical stakeholders. - Write clean, maintainable, and well-documented code, implement software engineering best practices within the AI/ML lifecycle, and implement robust monitoring for model performance, data drift, and system health in production. Qualifications Required: Must-Have Skills: - 7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. - Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). - Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. - Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). - Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines). - Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases. - Experience with data preprocessing, feature engineering, and handling large datasets. Good-to-Have Skills: - Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.,